Python Essentials for Geology: Visualizing and Analyzing Earth Data
The integration of data science with geoscience has become essential in today’s oil and gas industry, where large and complex datasets drive exploration and development decisions. This workshop equips geoscientists with practical Python skills for analyzing, interpreting, and visualizing earth science data. Participants will learn how to leverage Python’s versatile libraries to streamline workflows, enhance data accuracy, and improve the visualization of subsurface information. With direct application to geological datasets, the session bridges programming fundamentals with industry-relevant use cases, enabling participants to derive actionable insights from seismic, well log, and spatial data.
Workshop Objectives
By the end of this workshop, participants will be able to:
Understand the fundamentals of Python programming in the context of geological applications.
Import, clean, and structure various geoscience datasets for effective analysis.
Apply Python libraries such as Pandas, NumPy, and Matplotlib to address geoscience-related challenges.
Utilize visualization techniques to interpret seismic, stratigraphic, and well log data.
Develop reproducible workflows that support data-driven decision-making in exploration and reservoir evaluation.
Strengthen interdisciplinary skills by integrating coding practices with geological expertise.
About the Presenter
A highly accomplished geologist with expertise in structural geology, tectonics, and field mapping. He has a PhD in Geology from the University of Illinois at Urbana-Champaign and has held several teaching and research positions at prestigious universities in the United States. He is proficient in various geological software and programming languages, including Python, ArcGIS, and MATLAB. He has extensive experience in geological mapping, 3D modeling, and quantitative analysis of geological structures. He has also developed and taught several courses on Python programming for geoscientists.
Applied Machine Learning for Upstream and Subsurface Domains
This two-day hands-on workshop is designed for petroleum and subsurface professionals seeking practical skills in machine learning for upstream oil & gas operations. The program teaches participants how to apply machine learning to uncover patterns in production and reservoir data, discover equations from historical relationships, and build predictive models for vital engineering parameters. Real-world datasets from drilling and subsurface domains are used, focusing on automating reports, visualizing data, and interpreting model outputs for improved decision-making.